Massachusetts Institute of Technology Postdoctoral Associate, Computer Vision in Cambridge, Massachusetts

Postdoctoral Associate, Computer Vision

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Academic (non-faculty)

  • Department:

Program in Media Arts and Sciences

  • School Area:

Architecture & Planning

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Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

POSTDOCTORAL ASSOCIATE, Media Laboratory-Camera Culture Group, to join a highly collaborative team of faculty and researchers focusing on computational imaging, including ultrafast imaging systems, single photon avalanche diode (SPAD) detectors, THz time domain spectroscopy, and novel sensing systems. Will perform independent research in areas including computational imaging, machine learning, optimization, and signal processing; publish, present, and disseminate research to the computer vision, machine learning, signal processing, and optics communities; collaborate with professors from other institutions in their research; work with private, industry, and/or government research sponsors to apply for research grants; help identify projects, mentor graduate students, and supplement a team of researchers to push forward this research; and perform other duties as assigned.

A full job description is available at

Job Requirements

REQUIRED: Ph.D. in computer vision, computer science, electrical engineering, or closely related field; experience with machine learning, computer vision, computer graphics, optimization, compressive sensing, and inverse problems; excellent written and verbal communication skills; proactive approach to problem solving and time management; excellent interpersonal and collaboration skills; and ability to incubate and envision new, innovative research projects and successfully manage their implementation with graduate students. Job #16356 7/27/18

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.